Senior Data Engineer - Sclala

Job Description

• At Hewlett Packard Enterprise (HPE) we live by three core values that drive our business: Partner. Innovate. Act. These values combine to help us create important work all over the world to advance how people live and work. HPE makes Hybrid IT simple. HPE helps customers to design the right mix of Hybrid IT to serve their unique needs. We bring next generation infrastructure that uses intelligent software to simplify and accelerate the delivery of new apps services and business insights. Providing with new ways to deliver and manage IT on- premises and in the cloud. Scala Data Engineer HPE InfoSight HPE is seeking an outstanding software engineer to play a key role in helping the HPE InfoSight team build AI for the datacenter. HPE InfoSight allow HPE partners and customers to optimize manage and protect their datacenter infrastructure while helping customer support engineering and sales to deliver more value to our customers. You will be joining a small agile empowered team focused on analyzing call- home data sent from HPE storage and enterprise products to provide business value through analytics. The team leverages a modern big- data and microservice- based technology stack for our end- to- end data processing analysis API and web application to provide our users with the insights they need to be successful. Responsibilities Technical contributor as a full- stack developer in a small cross- functional development team focused on providing data analytics as a service to internal and external HP customers. Contribute to the continuous improvement of our IoT analytics platform powered by Scala Spark Mesos Akka Cassandra Kafka Elasticsearch and Vertica. Develop unit integration system or any tests that are needed to help the team deliver value quickly with high quality to our customers. Leverage big- data technologies for data analytics including Hadoop/ Spark Vertica (SQL) and Elasticsearch. Develop automation for continuous delivery testing and monitoring of our application and infrastructure using Mesosphere DCOS Jenkins Ansible Kibana and others. Education and Experience Bachelor/ Masters in Computer Science/ Engineering or equivalent and a minimum of 5- 7 years experience. Knowledge and Skills Team player with a passion for learning programming automation and data analytics. Excellent programming skills with experience or an interest in learning functional programming. Excellent analytical and problem solving skills. Excellent communications skills. We are looking for a candidate with some or all of the following: Experience building a data pipeline using Scala Java or Python preferably with Spark and Kafka Data analytics experience with SQL NoSQL Hadoop or ideally Spark. Machine learning experience Linux development or system administration experience including Python or BASH scripting. Automation experience with Ansible Chef Puppet or other. We offer: A competitive salary and extensive social benefits Diverse and dynamic work environment Work- life balance and support for career development Want to know more about HPE Then let s stay connected!

Job Summary